R Courses
R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.
Popular R Courses and Certifications
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Manipulation, Data Cleansing, Statistical Modeling, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard
Status: BestsellerSkills you'll gain: Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Restful API, Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Software Design, Flask (Web Framework), Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Python Programming, NumPy, Data Analysis
Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, Software Versioning, Data Literacy, General Science and Research, Data Analysis, R Programming, Development Environment, Statistical Reporting, Software Installation
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
Status: Job SkillsSkills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Kubernetes, Bash (Scripting Language), Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Grafana, Microservices, Python Programming
Skills you'll gain: Extract, Transform, Load, Database Administration, Data Warehousing, Web Scraping, Data Engineering, Data Pipelines, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, SQL, Apache Kafka, Bash (Scripting Language), Apache Airflow, Shell Script, Data Store, Generative AI, Python Programming, Data Security
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Data Architecture, Relational Databases, Database Systems, Apache Hadoop, Databases, Big Data, Unit Testing, Database Development, Data Storage, Apache Spark, Python Programming, NumPy, Data Analysis
Status: BestsellerJohns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning
Status: Job SkillsSkills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Server Side, Cloud-Native Computing, Istio, Software Architecture, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Node.JS, Django (Web Framework), Git (Version Control System), HTML and CSS, Front-End Web Development, Cloud Computing, Data Ethics, Python Programming, Software Development
In summary, here are 10 of our most popular r programming courses
- Data Science with R - Capstone Project: IBM
- Applied Software Engineering Fundamentals: IBM
- The Data Scientist’s Toolbox: Johns Hopkins University
- Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
- Calculating Descriptive Statistics in R: Coursera
- Introduction to Data Science in Python: University of Michigan
- IBM Back-End Development: IBM
- IBM Relational Database Administrator with GenAI: IBM
- Data Engineering Foundations: IBM
- Data Science: Johns Hopkins University
